Muhammad Ahmed is an Artificial Intelligence Engineer with 11 years of experience building production-grade computer vision, NLP, and multimodal AI systems. He has a strong research pedigree in self-supervised learning and unsupervised activity recognition with publications that improved state-of-the-art performance, and a proven record of turning those ideas into products—from a patented real-time food recommender to a bilingual edge–cloud driving assistant that routes between on-device models and cloud LLMs. At Pioneer and Retrocausal he optimized VLMs, compressed Audio-LLMs for sub-100ms on-device inference, and rebuilt perception stacks to cut latency by 90%, while integrating video, GPS, and routing for safety-focused applications. A consistent Kaggle medalist and pragmatic engineer, he blends deep research with hands-on deployment and quantization expertise, and has delivered demo-ready zero-shot and generative video solutions pitched to companies like Apple and Siemens.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Central College Multan
Master's degree, Computer Science, Master's degree, Computer Science at Bahauddin Zakariya University
Diploma of Associate Engineer, Electronics Technology, Diploma of Associate Engineer, Electronics Technology at Swedish Institute of Technology
Contributions:8 pushes, 2 branches, 1 tag in 4 years 3 months
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